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The Future of Systems Biology.
Interactions between these fields will help to shape the future of systems neuroengineering to develop neurotechniques for enhancing the understanding of whole-brain function and dysfunction, and the management of neurological and mental disorders.
The integrated and interactive visualization of a broad range of data types has been identified as a fundamental challenge for the future of systems biology [11], [12].
Although building and analyzing of comprehensive genome-wide detailed models is still not viable in most cases (see however [ 26, 27]), developing ways to extend large scale optimization analysis to larger and more realistic non-linear kinetic models is an important part of the future of systems biology [ 18].
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This chapter discusses the future of system-on-chips (SOCs) design.
The Network-on-Chip (NoC) is an important technology that replaced the traditional bus-based architecture for the future of System-on-Chip (SoC).
Hence, futures research was dominated by the confidence that science could forecast future developments of systems and future consequences of decisions and thus steer the future towards some sort of progress.
Improved techniques to develop future System of Systems solution architectures are a systems engineering imperative.
We expect that this work will be incorporated into future implementations of Systems Biology software systems.
An enterprise- centric system-engineering paradigm provides a holistic framework for guiding future growth of systems.
This design will have wide applications in future studies of systems and synthetic biology.
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